Search Results for author: Zachary Garrett

Found 6 papers, 4 papers with code

Local Adaptivity in Federated Learning: Convergence and Consistency

no code implementations4 Jun 2021 Jianyu Wang, Zheng Xu, Zachary Garrett, Zachary Charles, Luyang Liu, Gauri Joshi

Popular optimization algorithms of FL use vanilla (stochastic) gradient descent for both local updates at clients and global updates at the aggregating server.

Federated Learning

Federated Reconstruction: Partially Local Federated Learning

2 code implementations NeurIPS 2021 Karan Singhal, Hakim Sidahmed, Zachary Garrett, Shanshan Wu, Keith Rush, Sushant Prakash

We also describe the successful deployment of this approach at scale for federated collaborative filtering in a mobile keyboard application.

Collaborative Filtering Federated Learning +1

Adaptive Federated Optimization

3 code implementations ICLR 2021 Sashank Reddi, Zachary Charles, Manzil Zaheer, Zachary Garrett, Keith Rush, Jakub Konečný, Sanjiv Kumar, H. Brendan McMahan

Federated learning is a distributed machine learning paradigm in which a large number of clients coordinate with a central server to learn a model without sharing their own training data.

Federated Learning

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